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Why Real-Time Systems Need a Real-Time Database
Steven Graves - Watch Now - EOC 2022 - Duration: 09:58
Why Real-Time Systems Need a Real-Time Database
Steven Graves
Historically, real-time systems and database systems have been like oil and water. The reason? Making an API call to a non-deterministic database system could cause a real-time task to exceed its deadline. Previously, real-time systems were not overly complex and could do without database support. Today, however, real-time systems’ tasks need to collect, aggregate, correlate and analyze data from disparate sources (sensor data fusion) and could benefit greatly from a shared repository. This MicroTalk will present a solution: adding time-cognizance to database transactions, and suitable transaction schedulers.
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What is the main reason Steven Graves argues that real-time systems need a real-time database (rather than a conventional high-speed database)?
A
Because real-time databases provide deterministic, time-cognizant responses that can guarantee meeting transaction deadlines.
B
Because real-time databases always provide much higher raw throughput than conventional databases.
C
Because real-time databases eliminate the need for sensor data fusion by pre-processing sensor inputs at the database layer.
D
Because real-time databases reduce storage costs by aggressively compressing time-series data.
E
Because real-time databases remove the need for a real-time operating system and its scheduling guarantees.
